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Optimal Experimental Design for Error Components Models
误差成分模型的最优实验设计
Social experiments are characterized by their high cost. A tempting alternative to the establishment of a contemporaneous statistical control group is preexempt observat ion of the treatment group. In this paper, the authors analyze the tr ade-off between these two types of "con-trol" as functions of their relative cost and information content in a multiperiod error compone nts framework, where the allocation of observations across the two gr oups is always done in an…
Full Information Estimations of a System of Simultaneous Equations with Error Component Structure
误差分量结构联立方程系统的全信息估计
In this paper we develop full information methods for estimating the parameters of a system of simultaneous equations with error component structure and establish relationships between the various structural estimators.
A note on amemiya's partially generalized least squares
A note on the exact transformation associated with the first-order moving average process
Best quadratic unbiased estimators of the variance-covariance matrix in normal regression
On the Efficiency of Ordinary Least-Squares in Regression Models
回归模型中普通最小二乘的效率条件
For all regression models containing a common subset of explanatory variables, a necessary and sufficient condition for the ordinary least-squares estimators to be also best linear-unbiased estimators is given. The stochastic properties of the variances and covariances estimated by ordinary least-squares are derived. Five examples, especially useful in economic applications, are studied. The relevance of the basic result of this article for regression models containing a set…
On the Efficiency of Ordinary Least-Squares in Regression Models
回归模型中普通最小二乘估计的效率
For all regression models containing a common subset of explanatory variables, a necessary and sufficient condition for the ordinary least-squares estimators to be also best linear-unbiased estimators is given. The stochastic properties of the variances and covariances estimated by ordinary least-squares are derived. Five examples, especially useful in economic applications, are studied. The relevance of the basic result of this article for regression models containing a set…